Skip to main content
Springer Nature Link
Account

Activity Recognition in Pervasive Intelligent Environments

  • Book
  • © 2011

Overview

Editors:
  1. Liming Chen

    1. , School of Computing and Mathematics, University of Ulster, County Antrim, United Kingdom

  2. Chris D. Nugent

    1. School of Computing & Mathematics, University of Ulster, Newtownabbey, United Kingdom

  3. Jit Biswas

    1. , Networking Protocols Department, Institute of Infocomm Research, Singapore, Singapore

  4. Jesse Hoey

    1. , School of Computer Science, University of Waterloo, Waterloo, Canada

  • Complete systematic view on the state of the art work on activity recognition.
  • One-stop hand-on reference book for activity recognition.
  • Interdisciplinary overview, ranging from pervaisve computing through intelligent environments to mobile computing.
  • Includes supplementary material: sn.pub/extras

Part of the book series: Atlantis Ambient and Pervasive Intelligence (ATLANTISAPI, volume 4)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 109.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars.

Explore related subjects

Discover the latest articles, books and news in related subjects.

Table of contents (14 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Activity Recognition: Approaches, Practices and Trends

    • Liming Chen, Ismail Khalil
    Pages 1-31

  3. A Possibilistic Approach for Activity Recognition in Smart Homes for Cognitive Assistance to Alzheimer’s Patients

    • Patrice C. Roy, Sylvain Giroux, Bruno Bouchard, Abdenour Bouzouane, Clifton Phua, Andrei Tolstikov et al.
    Pages 33-58

  4. Multi-User Activity Recognition in a Smart Home

    • Liang Wang, Tao Gu, Xianping Tao, Hanhua Chen, Jian Lu
    Pages 59-81

  5. Smart Environments and Activity Recognition: A Logic-based Approach

    • Fulvio Mastrogiovanni, Antonello Scalmato, Antonio Sgorbissa, Renato Zaccaria
    Pages 83-109

  6. ElderCare: An Interactive TV-based Ambient Assisted Living Platform

    • Diego López-de-Ipiña, Sergio Blanco, Xabier Laiseca, Ignacio Díaz-de-Sarralde
    Pages 111-125

  7. An Ontology-Based Context-aware Approach for Behaviour Analysis

    • Shumei Zhang, Paul McCullagh, Chris Nugent, Huiru Zheng
    Pages 127-148

  8. User’s Behavior Classification Model for Smart Houses Occupant Prediction

    • Rachid Kadouche, Hélène Pigot, Bessam Abdulrazak, Sylvain Giroux
    Pages 149-164

  9. Human Activity Recognition from Wireless Sensor Network Data: Benchmark and Software

    • T. L. M. van Kasteren, G. Englebienne, B. J. A. Kröse
    Pages 165-186

  10. Smart Sweet Home… A Pervasive Environment for Sensing our Daily Activity?

    • Norbert Noury, Julien Poujaud, Anthony Fleury, Ronald Nocua, Tareq Haddidi, Pierre Rumeau
    Pages 187-208

  11. Synthesising Generative Probabilistic Models for High-Level Activity Recognition

    • Christoph Burghardt, Maik Wurdel, Sebastian Bader, Gernot Ruscher, Thomas Kirste
    Pages 209-236

  12. Ontology-Based Learning Framework for Activity Assistance in an Adaptive Smart Home

    • George Okeyo, Liming Chen, Hui Wang, Roy Sterritt
    Pages 237-263

  13. Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments

    • Clemens Lombriser, Oliver Amft, Piero Zappi, Luca Benini, Gerhard Tröster
    Pages 265-290

  14. Embedded Activity Monitoring Methods

    • Niket Shah, Maulik Kapuria, Kimberly Newman
    Pages 291-311

  15. Activity Recognition and Healthier Food Preparation

    • Thomas Plötz, Paula Moynihan, Cuong Pham, Patrick Olivier
    Pages 313-329
Back to top

Editors and Affiliations

  • , School of Computing and Mathematics, University of Ulster, County Antrim, United Kingdom

    Liming Chen

  • School of Computing & Mathematics, University of Ulster, Newtownabbey, United Kingdom

    Chris D. Nugent

  • , Networking Protocols Department, Institute of Infocomm Research, Singapore, Singapore

    Jit Biswas

  • , School of Computer Science, University of Waterloo, Waterloo, Canada

    Jesse Hoey

Accessibility Information

PDF accessibility summary

This PDF eBook is produced by a third-party. We have requested that the file be made accessible and compliant with the European Accessibility Act (EAA). However, we have not been able to fully verify its compliance with recognized accessibility standards (such as PDF/UA or WCAG). For detailed accessibility information, please refer to the original publisher’s website. If you require an accessible version of this content, please contact accessibilitysupport@springernature.com. We are committed to improving accessibility and will work with the publisher to meet your needs wherever possible.

Bibliographic Information

Keywords

Publish with us

Policies and ethics

Societies and partnerships

Back to top